3d cutting optimizer manual#
3d cutting optimizer software#

The researchers have created a free, open-source materials optimization platform called AutoOED that incorporates the same optimization algorithm. You wouldnвЂ™t need an expert chemist on hand to preselect the material formulations,вЂќ Foshey says. вЂњWe think, for a number of applications, this would outperform the conventional method because you can rely more heavily on the optimization algorithm to find the optimal solution. The developer reports the results to the algorithm, which automatically learns from the experiment and uses the new information to decide on another formulation to test. Then the developer mixes, processes, and tests that sample to find out how the material actually performs. Then the algorithm increases and decreases the amounts of those components (like turning knobs on an amplifier) and checks how each formula affects the materialвЂ™s properties, before arriving at the ideal combination. In the system the researchers developed, an optimization algorithm performs much of the trial-and-error discovery process.ДЄ material developer selects a few ingredients, inputs details on their chemical compositions into the algorithm, and defines the mechanical properties the new material should have.

The research was published today in Science Advances.

But rather than having a chemist who can only do a couple of iterations over a span of days, our system can do hundreds of iterations over the same time span,вЂќ says Mike Foshey, a mechanical engineer and project manager in the Computational Design and Fabrication Group (CDFG) of the Computer Science and Artificial Intelligence Laboratory (CSAIL), and co-lead author of the paper.ДЄdditional authors include co-lead author Timothy Erps, a technical associate in CDFG Mina KonakoviД‡ LukoviД‡, a CSAIL postdoc Wan Shou, a former MIT postdoc who is now an assistant professor at the University of Arkansas senior author Wojciech Matusik, professor of electrical engineering and computer science at MIT and Hanns Hagen Geotzke, Herve Dietsch, and Klaus Stoll of BASF. A chemist goes into a lab, mixes ingredients by hand, makes samples, tests them, and comes to a final formulation.

3d cutting optimizer manual#

вЂњMaterials development is still very much a manual process. The machine learning algorithm could also spur innovation by suggesting unique chemical formulations that human intuition might miss. To cut down on the time it takes to discover these new materials, researchers at MIT have developed a data-driven process that uses machine learning to optimize new 3D printing materials with multiple characteristics, like toughness and compression strength.Д«y streamlining materials development, the system lowers costs and lessens the environmental impact by reducing the amount of chemical waste. That results in more than 50 percent reduction of the manual job for the cutting operator.The growing popularity of 3D printing for manufacturing all sorts of items, from customized medical devices to affordable homes, has created more demand for new 3D printing materials designed for very specific uses.

3d cutting optimizer software#

Optimalon Software test cases showed reduction of rotations from 5-6 to 2-3 per sheet. Guillotine cutting requires all cutting operations to be performed in a strict order, which in turn requires rotation of the sheets by 90 degrees for the next cuts.CutGLib now provides an option 'MinimizeSheetRotation' that modifies cutting sequences and effectively minimizes the number of rotation operations. Version 2 of CutGLIb introduces a new feature for production shops that do not use CNC machines and perform all cutting operations manually. CutGLib has been successfully used with Microsoft Dynamics ERP for linear (1D) and rectangular (2D) cutting purposes.

It is a mathematical engine poised to be used by software developers for new or existing enterprise resource planning (ERP) systems. Finding a way to produce less waste and use fewer sheets is not a trivial task for a person, but can be done on a computer.Optimalon Software Ltd has developed CutGLib, a simple, high-performance software solution that performs guillotine cutting optimization and finds the best way to cut rectangular stock sheets. Material waste always accompanies this cutting, and the amount of waste strongly depends on the cutting order. Cutting sheets of wood, metal or glass is a common, everyday activity for many industrial, manufacturing and construction companies. The maximum layout size options have also been added to account for cutting machine hardware limitations. Cutting Optimization Software CutGLib Introduced New Options to Control Layout Sizes and Reduce Sheet Rotation Operations 1888 Press Release - Cutting optimization software library CutGLib version 2 introduced a new method to generate cutting sequence that minimizes sheet stock rotations, thus reducing the total job time.